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Privacy

2794 directly classified papers

Papers per year

Papers

On the Vulnerability of Text Sanitization NAACL 2025
Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport ACL 2025
Estimating Privacy Leakage of Augmented Contextual Knowledge in Language Models ACL 2025
Knowledge Graph Unlearning with Schema COLING 2025
ALGEN: Few-shot Inversion Attacks on Textual Embeddings via Cross-Model Alignment and Generation ACL 2025
A Statistical and Multi-Perspective Revisiting of the Membership Inference Attack in Large Language Models ACL 2025
Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage AAAI 2025
Privacy-Preserving Federated Learning for Hate Speech Detection NAACL 2025
On the Impact of Noise in Differentially Private Text Rewriting NAACL 2025
Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach IJCAI 2025
Anti-Diffusion: Preventing Abuse of Modifications of Diffusion-Based Models AAAI 2025
PsyDial: A Large-scale Long-term Conversational Dataset for Mental Health Support ACL 2025
Private Memorization Editing: Turning Memorization into a Defense to Strengthen Data Privacy in Large Language Models ACL 2025
Differentially Private Learning Needs Better Model Initialization and Self-Distillation NAACL 2025
Attribute Inference Attacks for Federated Regression Tasks AAAI 2025
Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning AAAI 2025
Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering ACL 2025
Federated Graph Condensation with Information Bottleneck Principles AAAI 2025
Trust-GRS: A Trustworthy Training Framework for Graph Neural Network Based Recommender Systems Against Shilling Attacks AAAI 2025
Stealing Training Data from Large Language Models in Decentralized Training through Activation Inversion Attack ACL 2025
Balancing Privacy and Performance: A Many-in-One Approach for Image Anonymization AAAI 2025
A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks AAAI 2025
Community-Centric Graph Unlearning AAAI 2025
EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning AAAI 2025
UNDIAL: Self-Distillation with Adjusted Logits for Robust Unlearning in Large Language Models NAACL 2025